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Neural Network Models for Abduction Problems Solving

  • Viorel Ariton
  • Doinita Ariton
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4692)

Abstract

Due to its’ connectionist nature, abductive reasoning may get neural network implementations that yet require structure adaptation to the abduction problems which Bylander and the team asserted. The paper proposes neural models for all known abduction problems, in a really unified manner, and with a sound and straightforward embedding in the existing neural network paradigms.

Keywords

Neural Network Model Fault Diagnosis Input Function Neural Model Truth Table 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Viorel Ariton
    • 1
  • Doinita Ariton
    • 2
  1. 1.“Danubius” University, Lunca Siretului no. 3, 800416, GalatiRomania
  2. 2.“Dunarea de Jos” University, Domneasca no. 47, 800001, GalatiRomania

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